M. Dunn

1.6k citations
14 papers · 1.2k · h-index 11

Impact in

  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis
    • IL-33, ST2, and ILC Pathways
    • Spondyloarthritis Studies and Treatments
    • Rheumatoid Arthritis Research and Therapies

Papers in

M. Dunn

14 papers receiving 1.2k citations

Peers

M. Dunn
Comparison fields: 5 of 92
  • Immunology 525
  • Rheumatology 285
  • Dermatology 130
  • Biophysics 77
  • Hematology 113
Replace Anna Kuryliszyn-Moskal with:
Anna Kuryliszyn-Moskal Poland
Daniel Ekman Sweden
Anna E. Schorer United States
Maria Eveslage Germany
Wendy Marder United States
Uriel Katz Israel
Thomas Mandl Sweden
Steven Dinsmore United States
Nebojša Stojsavljević Serbia
Edward A. Ganio United States
M. Dunn relative to Anna Kuryliszyn-Moskal Poland Anna Kuryliszyn-Moskal's profile →
Citations per field
00.5×10×15.4×
Anna Kuryliszyn-Moskal · 1×
Citations per year

Countries citing papers authored by M. Dunn

Since Specialization
Citations

This map shows the geographic impact of M. Dunn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dunn more than expected).

Fields of papers citing papers by M. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Dunn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Dunn. The network helps show where M. Dunn may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Dunn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Dunn Line = papers co-authored together M. Dunn links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2007269
2 2010230
3
Continued inhibition of radiographic progression in patients with psoriatic arthritis following 2 years of treatment with etanercept.
2006167
4 1997140
5 1996110
6 199367
7
Long-term safety and efficacy of etanercept in patients with psoriasis: an open-label study.
201066
8 200752
9 201043
10 200631
11 199712
12 199710
13 19959
14 20093

About M. Dunn

M. Dunn is a scholar working on Rheumatology, Immunology, Physiology, Psychiatry and Mental health and Surgery, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (3 papers), Spondyloarthritis Studies and Treatments (2 papers), Asthma and respiratory diseases (2 papers), Dementia and Cognitive Impairment Research (2 papers), Lipoproteins and Cardiovascular Health (1 paper), Menopause: Health Impacts and Treatments (1 paper), Health, Environment, Cognitive Aging (1 paper) and Electromagnetic Fields and Biological Effects (1 paper). The work is most often cited by research in Immunology (525 citations), Rheumatology (285 citations), Dermatology (130 citations), Biophysics (77 citations) and Hematology (113 citations). M. Dunn has collaborated with scholars based in United States and Canada. Frequent co-authors include Angelika Jahreis, Alice B. Gottlieb, Kenneth B. Gordon, Richard G. Langley, Stephen K. Tyring, Yves Poulin, Raymond A. Sobel, Howard N. Hodis, Wendy J. Mack and H. C. Chui. Their work appears in journals such as Circulation, British Journal of Dermatology, American Journal of Respiratory and Critical Care Medicine, Neurology and The Journal of Rheumatology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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